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Improving Quality Of Service For Radio Station Hosting: An Online Recommender System Based On Information Fusion

Author

Listed:
  • Dmitry I. Ignatov

    () (National Research University Higher School of Economics)

  • Sergey I. Nikolenko

    () (National Research University Higher School of Economics)

  • Taimuraz Abaev

    (National Research University Higher School of Economics)

  • Jonas Poelmans

    (National Research University Higher School of Economics)

Abstract

We present a new recommender system developed for the Russian interactive radio network FMhost. The system aims to improve the quality of this service; it is designed specifically to deal with small datasets, overcoming the shortage of data on observed user behavior. The underlying model combines a collaborative user-based approach with information from tags of listened tracks in order to match user and radio station profiles. It follows an adaptive online learning strategy based on both user history and implicit feedback. We compare the proposed algorithms with industry standard methods based on Singular Value Decomposition (SVD) in terms of precision, recall, and Normalized Discounted Cumulative Gain (NDCG) measures; experiments show that in our case the fusion-based approach produces the best results.

Suggested Citation

  • Dmitry I. Ignatov & Sergey I. Nikolenko & Taimuraz Abaev & Jonas Poelmans, 2014. "Improving Quality Of Service For Radio Station Hosting: An Online Recommender System Based On Information Fusion," HSE Working papers WP BRP 31/MAN/2014, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:31man2014
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    File URL: http://www.hse.ru/data/2014/12/24/1104121058/30MAN2014.pdf
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    References listed on IDEAS

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    1. Leif Brandes & Egon Franck & Stephan Nüesch, 2008. "Local Heroes and Superstars," Journal of Sports Economics, , vol. 9(3), pages 266-286, June.
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    3. Synthia Kariny Silva de Santana & Alexandre Stamford da Silva, 2009. "The determinants of demand in football matches during the 2007 Brazilian Championship," Working Papers 0906, International Association of Sports Economists;North American Association of Sports Economists.
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    5. da Silva, Aneirson Francisco & Marins, Fernando Augusto Silva, 2014. "A Fuzzy Goal Programming model for solving aggregate production-planning problems under uncertainty: A case study in a Brazilian sugar mill," Energy Economics, Elsevier, vol. 45(C), pages 196-204.
    6. Kim, Kyeongheui & Park, Jongwon & Kim, Jungkeun, 2014. "Consumer–brand relationship quality: When and how it helps brand extensions," Journal of Business Research, Elsevier, vol. 67(4), pages 591-597.
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    More about this item

    Keywords

    e-commerce; quality of service; consumer behaviour; music recommender systems; interactive radio network; hybrid recommender system; information fusion; CRM;

    JEL classification:

    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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